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senior data & ai/ml engineer

senior lead software engineer

Caris Life Sciences

<div>At Caris, we understand that cancer is an ugly word&mdash;a word no one wants to hear, but one that connects us all. That&rsquo;s why we&rsquo;re not just transforming cancer care&mdash;we&rsquo;re changing lives. 
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: &ldquo;What would I do if this patient were my mom?&rdquo; That question drives everything we do. 
But our mission doesn&rsquo;t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare&mdash;driven by innovation, compassion, and purpose. 
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Lead and innovate as a Senior Staff Cloud DevOps Engineer specializing in AWS and Kubernetes to architect, implement, and optimize scalable, secure cloud-native infrastructure. Lead strategic initiatives, drive technical transformations, and provide expertise in cloud migrations, security implementations, and DevOps best practices. Develop and execute on long-term technical roadmaps, mentor junior engineers, and collaborate with executive leadership to align technology solutions with business objectives. Champion a culture of continuous improvement, knowledge sharing, and operational excellence across the organization.
Job Responsibilities<ul><li>
Architect and lead the implementation of large-scale, complex Kubernetes environments on AWS EKS, ensuring enterprise-grade availability, scalability, and security. Design and implement advanced features including multi-cluster management, service mesh architectures, and custom controllers.</li><li>
Drive strategic proof-of-concept (PoC) initiatives for emerging technologies, evaluating their potential impact on the organization's technical landscape and business goals.</li><li>
Lead the development of enterprise-wide standards for Kubernetes cluster lifecycle management, including upgrade strategies, security policies, and performance optimization frameworks.</li><li>
Provide expert-level consultation to cross-functional teams on cloud-native application design, microservices architecture, and container orchestration strategies.</li><li>
Architect and implement comprehensive, multi-layered observability solutions integrating metrics, logs, and traces. Develop predictive monitoring capabilities and establish organization-wide observability standards.</li><li>
Lead the adoption of advanced Infrastructure as Code (IaC) practices and oversee the implementation of sophisticated CI/CD and GitOps-based continuous delivery (e.g., ArgoCD) pipelines, including modular design patterns, reusable components, and automated testing frameworks for efficient application deployment and image management across multiple environments.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li><li>
Develop and execute the organization's cloud security strategy, including the implementation of zero-trust architectures, automated compliance checks, and security-as-code practices. Translate complex regulatory and compliance requirements (e.g., HIPAA, SOC2, SOX) into actionable cloud implementation plans.</li><li>
Spearhead large-scale cloud migration and application modernization initiatives, collaborating with business stakeholders to align technical solutions with organizational objectives.</li><li>
Identify and implement strategic opportunities for process improvements and automation across the DevOps and cloud infrastructure landscape, developing and executing long-term roadmaps to drive continuous enhancement of cloud operations and DevOps practices.</li><li>
Lead critical incident response efforts and participate in on-call rotations to support and improve the reliability of critical cloud infrastructure.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>
9+ years of experience in DevOps or Site Reliability Engineering roles.</li><li>
7+ years of hands-on experience with AWS services and cloud architecture.</li><li>
7+ years of hands-on experience with Kubernetes, including deep expertise in cluster management, troubleshooting, and optimization.</li><li>
Expert-level proficiency in at least one programming language (e.g., Python, Go) with a track record of developing and maintaining production-grade software.</li><li>
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, AWS CDK) and ability to design scalable, modular IaC frameworks.</li><li>
Deep understanding of containerization technologies and orchestration platforms, including security best practices and performance optimization techniques.</li><li>
Proven experience in designing and implementing enterprise-grade CI/CD pipelines and DevOps workflows, preferred with GitLab CI, with hands-on GitLab CI/CD expertise (pipelines, runners, modular templates).</li><li>
Expert-level networking in complex AWS environments; hybrid/multi-cloud experience a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to troubleshoot complex distributed systems and provide innovative solutions.</li><li>
Proven ability to lead PoC initiatives and evaluate new technologies.</li><li>
Demonstrated experience in creating and maintaining technical documentation and knowledge bases.</li><li>
Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders, including executive leadership.</li><li>
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.</li><li>
Hands-on experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate engineering work, including building automations, agents, and reusable skills/workflows that improve team productivity and reduce operational toil.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li></ul>
Preferred Qualifications<ul><li>
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional).</li><li>
Kubernetes certifications (e.g., CKA, CKAD, CKS).</li><li>
Experience with multiple cloud platforms (e.g., AWS, GCP) for multi-cloud architectures.</li><li>
Deep expertise in database technologies including design and optimization of distributed database systems including MySQL, PostgreSQL, and Serverless platforms.</li><li>
Proficiency with specific monitoring and observability tools such as DataDog and AWS CloudWatch.</li><li>
Hands-on experience with configuration management tools (e.g., Ansible, Chef, Puppet).</li><li>
Experience in implementing knowledge management systems or tools in a DevOps environment.</li><li>
Contributions to open-source projects or personal projects demonstrating cloud expertise.</li></ul>
Physical Demands<ul><li>
Ability to sit for extended periods while working on a computer.</li></ul>
Training<ul><li>
All job specific safety and compliance training are assigned based on the job functions associated with this employee.</li></ul>
Other<ul><li>
Job may require after-hours response to emergency issues and on-call availability as required</li></ul>
Annual Hiring Range
$170,000 - $220,000
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. 
Description of Benefits<ul><li>
Highly competitive and inclusive medical, dental and vision coverage options</li><li>
Health Savings Account for medical expenses and dependent care expenses</li><li>
Flexible Spending Account to pay for certain out-of-pocket expenses</li><li>
Paid time off, including: vacation, sick time and holidays</li><li>
401k match and Financial Planning tools</li><li>
LTD and STD insurance coverages, as well as voluntary benefit options</li><li>
Employee Assistance Program</li><li>
Pet Insurance</li><li>
Legal Assistance</li><li>
Tuition Assistance</li></ul>
Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management&rsquo;s assignment of essential functions. Nothing in this job description restricts management&rsquo;s right to assign or reassign duties and responsibilities to this job at any time. 
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.</div>

Senior Staff DevOps Engineer

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Jul 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Data Engineer

Wellfit Technologies

<div><div><div>About Wellfit: 
Wellfit is the dental industry&rsquo;s fintech solution. We help remove financial barriers between patients, providers, employers, and payors by creating technology that improves access to treatment, financial transparency, and operational efficiency. 
 
As a profitable and growing healthcare fintech company, Wellfit is investing heavily in AI, data, and modern technology to better understand our business, support our customers, and create new opportunities for growth. We have a significant amount of data across our platform, products, transactions, practices, patients, providers, and business operations &mdash; and we are looking for someone who can help turn that data into meaningful insight, scalable intelligence, and future product value. 
 
About the Role: 
We are seeking a Senior Data &amp; AI/ML Engineer to help Wellfit unlock the value of its data through applied AI, machine learning, analytics, and production-ready data products. 
 
This is a hands-on, business-facing technical role for someone who can work deep in the data, understand business context, identify patterns and anomalies, and help translate insights into action. The right person will not only know how to build models, train models, use models for inference, and work with modern data platforms &mdash; they will also understand why the data matters and how it can help the business grow. 
 
This role is ideal for someone who has strong data and AI/ML grounding, can operate with high initiative, and wants the opportunity to build something meaningful using modern tools. You will help Wellfit identify opportunities, understand performance variance across practices and product lines, uncover correlations, and develop insights that can support better decision-making, stronger customer outcomes, and future product monetization. 
 
What You&rsquo;ll Do:</div>
<ul><li>Own hands-on AI/ML and data engineering work focused on understanding, mining, and productizing Wellfit&rsquo;s data.</li>
<li>Train, evaluate, and apply models for inference, insight generation, anomaly detection, and business intelligence use cases.</li>
<li>Partner with technology and business leaders to understand what the data is telling us, why it matters, and how it can be used to improve business outcomes.</li>
<li>Identify anomalies, trends, correlations, and variances in performance across practices, products, transactions, demographics, service types, and customer behavior.</li>
<li>Help uncover opportunities related to product performance, plan adoption, transaction volume, collections, fraud, customer growth, and other business-critical areas.</li>
<li>Build data-driven solutions that can support consultative insights for customers, helping practices understand how to grow and keep their business healthy.</li>
<li>Work with modern AI/data platforms, preferably within the Microsoft ecosystem, including Microsoft Fabric, Azure AI Foundry, Azure data services, and related tools.</li>
<li>Translate experience from other modern data/AI ecosystems, such as AWS, Databricks, Bedrock, or similar platforms, into Wellfit&rsquo;s Azure-centric environment.</li>
<li>Develop prototypes, proof-of-concepts, and production-ready solutions that can scale beyond experimentation.</li>
<li>Collaborate with engineering, product, data, operations, and executive stakeholders to turn raw data into usable intelligence.</li>
<li>Communicate insights clearly to both technical and non-technical audiences, including the business problem, the data pattern, the recommendation, and the expected impact.</li>
<li>Ask strong follow-up questions, challenge assumptions, identify gaps, and elevate the conversation rather than simply executing instructions.</li>
<li>Bring high initiative, curiosity, and ownership to a greenfield-style opportunity where there is room to build, influence, and shape the future of AI and data at Wellfit.</li>
</ul><div>What We&rsquo;re Looking For:</div>
<ul><li>5+ years of professional experience in data engineering, analytics engineering, machine learning, AI/ML engineering, applied data science, or a related technical field.</li>
<li>Strong hands-on experience working with business data, identifying patterns, and translating data into insights or solutions.</li>
<li>Experience with AI/ML concepts including model training, inference, evaluation, and applied machine learning use cases.</li>
<li>Strong technical foundation in data pipelines, data modeling, analytics, experimentation, and production-grade data solutions.</li>
<li>Experience with modern cloud-based data and AI platforms.</li>
<li>Preferred experience with Microsoft Fabric, Azure AI Foundry, Azure Machine Learning, Azure data services, or other Microsoft data/AI tools.</li>
<li>Comparable experience with AWS, Databricks, Bedrock, Snowflake, or similar platforms is also valuable, especially if you can translate that knowledge into an Azure-centric environment.</li>
<li>Ability to connect technical work to business value. You should be able to explain not just what you built, but why it mattered, what business problem it solved, and what impact it created.</li>
<li>Strong communication skills with the ability to explain complex data findings clearly and practically.</li>
<li>A builder mindset. This role requires someone who can work in the weeds, pull out the data, make sense of it, and help build something from the ground up.</li>
<li>High initiative, intellectual curiosity, and the ability to operate without heavy hand-holding.</li>
<li>Comfort working in a fast-moving, entrepreneurial environment where the opportunity is not simply to maintain existing reports, but to create new intelligence, products, and business value.</li>
</ul><div>Nice to Have:</div>
<ul><li>Experience turning data or AI/ML capabilities into customer-facing or revenue-generating products.</li>
<li>Experience supporting executive decision-making through data-driven insights.</li>
<li>Experience in fintech, healthcare, payments, lending, insurance, SaaS, marketplace platforms, or other transaction-heavy environments.</li>
<li>Experience with anomaly detection, customer segmentation, predictive analytics, recommendation systems, forecasting, or business performance modeling.</li>
<li>Experience working with demographic, transactional, operational, or customer behavior data.</li>
<li>Python experience for data analysis, ML development, automation, and prototyping.</li>
<li>Experience with SQL, data warehouses/lakehouses, APIs, and production data environments.</li>
<li>Familiarity with .NET or working in a Microsoft-heavy engineering environment.</li>
</ul><div>Who Will Thrive Here: 
You will thrive in this role if you are the kind of person who sees data and immediately starts asking better questions:</div>
<ul><li>Why is this happening?</li>
<li>What is different about this customer, practice, transaction, or product line?</li>
<li>What pattern are we missing?</li>
<li>What business problem does this reveal?</li>
<li>How could this insight become a product, feature, recommendation, or revenue opportunity?</li>
</ul><div>We are not looking for someone who only builds dashboards or only talks about AI at a buzzword level. We are looking for someone who can go deep technically, understand the business context, and turn insight into action. 
 
This is a role for someone hungry, sharp, and ready to build. You will have access to modern tools, flexibility, and the opportunity to help shape how Wellfit uses AI and data across the business. 
 
Why Wellfit 
 
At Wellfit, you will not be buried under layers of bureaucracy or limited to maintaining old technology. You will have the opportunity to work with modern tools, influence strategy, and build practical AI/data solutions that can directly impact the business. We have a large amount of valuable data that is not yet being mined to its full potential. This role exists to change that. 
 
You will help create the intelligence that allows Wellfit to better serve customers, support practices, improve product performance, identify growth opportunities, and build data-driven products that make Wellfit more valuable to the market.</div>
</div><div>Alongside a competitive annual bonus, we offer a 401(k) with up to a 4% match, generous paid time off, and comprehensive healthcare benefits.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Data & AI/ML Engineer

LTM Limited

<div>Role description 
Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description

 Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities

Roles and Responsibilities

 Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $83,912.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

LTIMindtree

<div>Role description 
Job Title: Big data Developer

Work Location : Irving,Texas

Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description
<ul>
<li> Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities</li>
</ul>
Roles and Responsibilities
<ul>
<li> Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate</li>
</ul> 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

<div>About this role:
Wells Fargo is seeking a Lead Python Software Engineer in the Secured Network Services organization with a goal to deliver automation solutions that enable a software driven Infrastructure environment. If you're passionate about automation, cloud-native technologies, and building scalable systems, this is your opportunity to make a real impact in a large-scale enterprise environment. 
In this role, you will:<ul><li>
Create API‑driven integrations between network platforms and internal systems.</li><li>
Develop and maintain automation frameworks that improve reliability and reduce operational toil.</li><li>
Translate manual operational procedures into codified, repeatable automation.</li><li>
Ensure automation artifacts follow best practices for performance, maintainability, and security.</li><li>
Collaborate with network engineering and platform teams to align automation with broader architectural strategies.</li><li>
Lead the automation of product deployments, customer journeys, and creation of APIs for our products and services</li><li>
Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)</li><li>
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting</li><li>
Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions</li><li>
Understand and account for model limitations, security risks, and operational considerations</li><li>
Apply AI responsibly in development and production environments</li><li>
Ensure AI usage aligns with security, compliance, privacy, and ethical standards</li></ul> 
Required Qualifications:<ul><li>
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
3+ years python development experience</li></ul>
Desired Qualifications:<ul><li>
Proficiency in Python for building automation tooling, integrations, and workflow orchestration</li><li>
Experience with langchain/langraph, google ADK/A2A, AG-UI, and other common opensource libraries for developing AI workflows.</li><li>
Experience with openai api spec and building interfaces into enterprise models</li><li>
Experience with MCP, Djando, graphQL, PSQL, no SQL, REACT, fast API, oAuth,</li><li>
Experience with Multi agent orchestration</li><li>
Demonstrated ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning</li><li>
Hands-on experience with source control like GitHub.</li><li>
Experience working in large‑scale, enterprise environments with change control and structured processes.</li><li>
Extensive expertise in Microservices, RESTful API and event driven architectures.</li><li>
Hands‑on experience with Ansible, including developing reusable playbooks, roles, and modules for network automation.</li><li>
Proficiency in dealing with Legacy infrastructure along with cloud infrastructure (OpenShift, Cloud Foundry, Kubernetes)</li><li>
Working knowledge of Unix, Linux, Mongo DB, Postman</li></ul> 
Job Expectations:<ul><li>
Ability to work on-site at approved location</li><li>
This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li><li>
Relocation assistance is not available for this position</li></ul>
Posting End Date:
26 Jun 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Software Engineer

<div><h2 class="jobSectionHeader">About this role:</h2>
Wells Fargo is seeking a Systems Operations Senior Manager to provide leadership for enterprise messaging platforms subject to financial services supervision, record retention, and audit requirements. This role is accountable for the operational integrity, regulatory compliance, resilience, and strategic evolution of regulated communication platforms supporting advisor, employee, and corporate populations.
The role balances operational excellence, regulatory alignment, and technology modernization, ensuring platforms remain continuously audit‑ready while improving efficiency, scalability, resiliency, and cost through disciplined operations and intelligent automation.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Lead the day‑to‑day operations and regulatory readiness of enterprise messaging platforms subject to supervision, retention, and audit requirements.</li><li>
Ensure consistent execution of retention, legal hold, supervision, and evidentiary controls across regulated messaging channels.</li><li>
Partner with Risk, Compliance, Legal, and Records Management to implement and operate regulatory and governance controls.</li><li>
Serve as the senior operations lead during audits, examinations, regulatory events, and platform incidents.</li><li>
Drive operational efficiency through automation, analytics, and workflow optimization while maintaining regulatory confidence.</li><li>
Oversee system reliability, including incident response, recovery, monitoring, and lifecycle management for high‑impact platforms.</li><li>
Lead platform modernization, migrations, and change initiatives with strong change control and testing discipline.</li><li>
Manage and develop managers and senior technologists across operations, engineering, and production support.</li><li>
Establish operational standards, runbooks, escalation processes, and performance thresholds.</li><li>
Promote a culture of accountability, documentation rigor, and continuous improvement.</li></ul><h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li>
7+ years of Systems Engineering and Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li><div>
5+ years of experience with operational ownership of high‑availability production systems, including incident response, disaster recovery, and risk management</div></li><li>
3+ years of experience partnering with Risk, Compliance, Legal, or Audit functions to implement and operate regulatory or governance controls</li><li>
3+ years of management or leadership experience</li></ul><h2 class="jobSectionHeader">
Desired Qualifications:</h2><ul><li>
Demonstrated ability to translate regulatory and policy requirements into standardized, repeatable operational processes</li><li>
Experience operating or supervising regulated messaging platforms, such as email, instant messaging, or collaboration tools</li><li>
Experience applying automation, analytics, or intelligent workflow solutions to supervised or high‑risk operational processes</li><li>
Demonstrated success leading platform modernization, migration, or consolidation initiatives in regulated environments</li><li>
Experience managing vendor solutions and third‑party relationships supporting regulated technology platforms</li><li>
Ability to influence across Technology, Risk, Compliance, and Business stakeholders at senior levels</li></ul><h2 class="jobSectionHeader">
Job Expectations:</h2><ul><li>
Must be able to work onsite in one of the posted locations</li><li>
Sponsorship is not available for this position</li></ul>
Posting End Date:
22 Jun 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Systems Operations Senior Manager - Regulated Messaging Platforms

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Systems Operations Senior Manager - Regulated Messaging Platforms